Machine Learning Engineer

Position: Machine Learning Engineer
Experience: 2–5 Years
Location: On-Site

Role Overview

Build, train, optimize and deploy machine learning models while managing data pipelines and improving model accuracy for business applications.

Core Responsibilities

• Train ML/DL models using TensorFlow/PyTorch.
• Preprocess datasets and perform model tuning.
• Deploy models using Docker/FastAPI on cloud platforms.
• Monitor production accuracy and retrain based on new inputs.
• Research new AI approaches and improve pipeline efficiency.

Technical Skills & Tools

Software & Tools: Jira, Trello, ClickUp, Asana, Monday.com
Documentation: Confluence, Notion, Google Workspace, MS Office
Diagramming: Draw.io, Lucidchart, Figma (flows/UI mapping)
CRM (Pre-Sales): HubSpot, Zoho, Salesforce (basic use)

Technical Understanding:

• REST/GraphQL APIs for integration
• SQL basics for data extraction & reports
• Cloud (AWS/Azure/GCP) deployment familiarity
• AI/ML concepts — LLMs, predictive models, training workflows
• SDLC & MLOps awareness
• Basic understanding of web stack (HTML/CSS/JS)

Job Type: Full-time

Work Location: In person